Skill demand compared

MongoDB vs. DynamoDB vs. Cassandra

How often each appears in job posts, how demand is moving, who asks for it and what it pays - from job posts sourced directly from company career sites.

In short

Which is more in demand: MongoDB, DynamoDB or Cassandra?
MongoDB - it appears in 0.2% of job posts (11,218 in the last 90 days), vs. DynamoDB 0.1%; Cassandra 0.0%.
Is MongoDB, DynamoDB or Cassandra growing faster?
Neither is growing; DynamoDB is declining least, measured by the change in the share of job posts over the last three completed months vs. the three before: MongoDB -18%; DynamoDB -9%; Cassandra -13%.
Which pays more: MongoDB, DynamoDB or Cassandra?
Cassandra job posts advertise the highest median salary (USD per year, last 12 months, pooled across countries): MongoDB $142,500; DynamoDB $149,000; Cassandra $156,800.
Which is more often remote: MongoDB, DynamoDB or Cassandra?
DynamoDB - 46% of its job posts in the last 90 days offer remote or hybrid work.

Share of job posts per month

Side by side

SkillShare of postsPosts (90 days)Remote/hybridMedian salary (pooled)Top role
MongoDB 0.2% 11,218 38% $142,500 Engineer
DynamoDB 0.1% 5,408 46% $149,000 Engineer
Cassandra 0.0% 2,793 32% $156,800 Engineer

Cite this data

jobdata API. (2026, November 14). MongoDB vs. DynamoDB vs. Cassandra: demand in job posts [Data set]. Retrieved November 14, 2026, from https://jobdataapi.com/skill-demand/compare/mongodb-vs-dynamodb-vs-cassandra/

Download CSV Markdown Data as of Nov 14, 2026. Free to reuse under CC BY 4.0 with a link to this page · Methodology

More comparisons

Share of all job posts from active companies whose title or description mentions the skill as a phrase; completed calendar months. Methodology · Markdown version

Explore jobdata API with AI tools

Ask an AI assistant how to search and build with live job data.